High_Res-vs-Low_Res

# **High_Res-vs-Low_Res**

**High_Res-vs-Low_Res** is a dataset designed for image classification, distinguishing between high-quality and low-quality images. This dataset includes a diverse collection of 5,016 high-resolution and low-resolution images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of robust image quality assessment models.

### **Label Mappings**

- **Mapping of IDs to Labels:**
`{0: 'High Quality', 1: 'Low Quality'}`

- **Mapping of Labels to IDs:**
`{'High Quality': 0, 'Low Quality': 1}`

# **高分辨率与低分辨率（High_Res-vs-Low_Res）**

**高分辨率与低分辨率（High_Res-vs-Low_Res）** 是一款专为图像分类任务打造的数据集，用于区分高质量与低质量图像。该数据集包含5016张覆盖多样场景的高分辨率与低分辨率图像样本，旨在提升分类精度并优化模型整体运行效率。通过提供分布均衡的数据集，本数据集致力于支撑鲁棒性图像质量评估模型的研发。

### **标签映射规则**

- **ID到标签的映射关系：**
`{0: '高质量', 1: '低质量'}`

- **标签到ID的映射关系：**
`{'高质量': 0, '低质量': 1}`